class_docstr: Tests for DpgLearning.
    
class_docstr_tok: ["Tests","for","DpgLearning","."]
docstr: No gradient of loss w.r.t. parameters other than that of actor network.
      
docstr_tok: ["No","gradient","of","loss","w.r.t",".","parameters","other","than","that","of","actor","network","."]
code: def testDpgNoOtherGradients(self):
      """No gradient of loss w.r.t. parameters other than that of actor network."""
      with self.test_session():
          gradients = tf.gradients(
              [self.loss], [self.q_tm1_max, self.w, self.b]
          )
          self.assertListEqual(gradients, [None] * len(gradients))
  
file_path: trfl/trfl/dpg_ops_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow.compat.v1
  from trfl import dpg_ops
label_desc: Use image node_id 5 for calling the DpgTest obj's underlying member method code with example usage: obj.testDpgNoOtherGradients() without return types